Transient Information Adaptation of Artificial Intelligence: Towards Sustainable Data Processes in Complex Projects
Nicholas Dacre, Fredrik Kockum, PK Senyo

TL;DR
This paper explores how transient AI adaptations can support project managers in handling complex data, aiming to improve cognitive load management and project success in large-scale, complicated projects.
Contribution
It provides empirical insights into how AI can be leveraged for cognitive load enhancement in complex projects, highlighting the need for improved knowledge and access to relevant AI technologies.
Findings
AI can support cognitive load management in complex projects
Project managers need better access to relevant AI technologies
Further quantitative research is planned to test hypotheses
Abstract
Large scale projects increasingly operate in complicated settings whilst drawing on an array of complex data-points, which require precise analysis for accurate control and interventions to mitigate possible project failure. Coupled with a growing tendency to rely on new information systems and processes in change projects, 90% of megaprojects globally fail to achieve their planned objectives. Renewed interest in the concept of Artificial Intelligence (AI) against a backdrop of disruptive technological innovations, seeks to enhance project managers cognitive capacity through the project lifecycle and enhance project excellence. However, despite growing interest there remains limited empirical insights on project managers ability to leverage AI for cognitive load enhancement in complex settings. As such this research adopts an exploratory sequential linear mixed methods approach to…
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